Anna Schmitt

2.9k total citations
22 papers, 828 citations indexed

About

Anna Schmitt is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Anna Schmitt has authored 22 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Oncology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Anna Schmitt's work include DNA Repair Mechanisms (5 papers), Acute Myeloid Leukemia Research (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Anna Schmitt is often cited by papers focused on DNA Repair Mechanisms (5 papers), Acute Myeloid Leukemia Research (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Anna Schmitt collaborates with scholars based in Germany, United States and France. Anna Schmitt's co-authors include Hans Christian Reinhardt, Christian Behl, F. Lottspeich, Anja‐Katrin Bosserhoff, Reinhard Buettner, Ulrich Bogdahn, Armin Blesch, Glenn A. Miller, Piotr Jachimczak and Cynthia Reeves and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Anna Schmitt

21 papers receiving 813 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Anna Schmitt Germany 13 451 418 195 167 133 22 828
Fernando Pardal Portugal 16 404 0.9× 236 0.6× 211 1.1× 136 0.8× 82 0.6× 26 829
Zheling Chen China 15 280 0.6× 378 0.9× 214 1.1× 162 1.0× 99 0.7× 44 791
Luciana L. Almada United States 19 753 1.7× 337 0.8× 157 0.8× 144 0.9× 90 0.7× 45 1.1k
Maher N. Younes United States 19 517 1.1× 498 1.2× 169 0.9× 78 0.5× 70 0.5× 21 1.1k
Archontoula Stoffel United States 12 548 1.2× 259 0.6× 166 0.9× 102 0.6× 57 0.4× 15 826
Eftychia Oikonomou Greece 13 330 0.7× 273 0.7× 135 0.7× 123 0.7× 73 0.5× 16 597
Kandavel Shanmugam United States 13 629 1.4× 509 1.2× 179 0.9× 195 1.2× 47 0.4× 27 1.1k
Marie-Pierre Podgorniak France 14 364 0.8× 337 0.8× 130 0.7× 67 0.4× 55 0.4× 20 648
Michele Dziubinski United States 14 545 1.2× 547 1.3× 172 0.9× 69 0.4× 52 0.4× 17 890
Joanna W. Ho Hong Kong 15 638 1.4× 283 0.7× 281 1.4× 194 1.2× 113 0.8× 16 1.1k

Countries citing papers authored by Anna Schmitt

Since Specialization
Citations

This map shows the geographic impact of Anna Schmitt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anna Schmitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Schmitt more than expected).

Fields of papers citing papers by Anna Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Schmitt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anna Schmitt. The network helps show where Anna Schmitt may publish in the future.

Co-authorship network of co-authors of Anna Schmitt

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Schmitt. A scholar is included among the top collaborators of Anna Schmitt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anna Schmitt. Anna Schmitt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Andreana, Marco, Caterina Sturtzel, Martín Pfister, et al.. (2025). Multimodal Investigation of Angiogenesis and Its Prevention by Small Compounds in a Zebrafish Cancer Model. Advanced Science. 12(33). e15176–e15176.
2.
3.
Gremke, Niklas, Jean Schneikert, Sabrina Elmshäuser, et al.. (2020). mTOR-mediated cancer drug resistance suppresses autophagy and generates a druggable metabolic vulnerability. Nature Communications. 11(1). 4684–4684. 113 indexed citations
4.
Erber, Johanna, Jörg Isensee, Filippo Beleggia, et al.. (2019). Dual Inhibition of GLUT1 and the ATR/CHK1 Kinase Axis Displays Synergistic Cytotoxicity in KRAS -Mutant Cancer Cells. Cancer Research. 79(19). 4855–4868. 19 indexed citations
5.
Fassunke, Jana, Carina Heydt, Sebastian Michels, et al.. (2019). New insights into acquired resistance mechanisms to third-generation EGFR tyrosine kinase inhibitor therapy in lung cancer. Annals of Oncology. 30. ii51–ii51. 1 indexed citations
6.
Yang, Dian, Sarah K. Denny, Peyton Greenside, et al.. (2018). Intertumoral Heterogeneity in SCLC Is Influenced by the Cell Type of Origin. Cancer Discovery. 8(10). 1316–1331. 104 indexed citations
7.
Jokić, Mladen, Martin Höhne, Anna Schmitt, et al.. (2018). AATF suppresses apoptosis, promotes proliferation and is critical for Kras-driven lung cancer. Oncogene. 37(11). 1503–1518. 21 indexed citations
8.
Schmitt, Anna, Georg Feldmann, Thomas Zander, & Hans Christian Reinhardt. (2018). Targeting Defects in the Cellular DNA Damage Response for the Treatment of Pancreatic Ductal Adenocarcinoma. Oncology Research and Treatment. 41(10). 619–625. 13 indexed citations
9.
Schmitt, Anna, Gero Knittel, Tsun-Po Yang, et al.. (2017). ATM Deficiency Is Associated with Sensitivity to PARP1- and ATR Inhibitors in Lung Adenocarcinoma. Cancer Research. 77(11). 3040–3056. 82 indexed citations
10.
Doerr, Fabian, Julie George, Anna Schmitt, et al.. (2017). Targeting a non-oncogene addiction to the ATR/CHK1 axis for the treatment of small cell lung cancer. Scientific Reports. 7(1). 15511–15511. 52 indexed citations
11.
Bouças, Jorge, Christian Fritz, Anna Schmitt, et al.. (2015). Label-Free Protein-RNA Interactome Analysis Identifies Khsrp Signaling Downstream of the p38/Mk2 Kinase Complex as a Critical Modulator of Cell Cycle Progression. PLoS ONE. 10(5). e0125745–e0125745. 29 indexed citations
12.
Schmitt, Anna & Pierre Soubeyran. (2014). New Drugs for Follicular Lymphoma in Older Adults. Anti-Cancer Agents in Medicinal Chemistry. 14(5). 657–664. 1 indexed citations
13.
Schmitt, Anna, et al.. (2009). 50-jähriger Mann mit Gewichtsverlust und Splenomegalie. DMW - Deutsche Medizinische Wochenschrift. 134(6). 251–252. 1 indexed citations
14.
15.
Lüthje, Sabine, et al.. (2008). Hunting for low abundant redox proteins in plant plasma membranes. Journal of Proteomics. 72(3). 475–483. 12 indexed citations
16.
Schmitt, Michael, Anna Schmitt, Peter Reinhardt, et al.. (2004). Opsonization with a trifunctional bispecific (alphaCD3 x alphaEpCAM) antibody results in efficient lysis in vitro and in vivo of EpCAM positive tumor cells by cytotoxic T lymphocytes.. PubMed. 25(4). 841–8. 50 indexed citations
17.
Terdiman, Jonathan P., James R. Gum, Peggy Conrad, et al.. (2001). Efficient detection of hereditary nonpolyposis colorectal cancer gene carriers by screening for tumor microsatellite instability before germline genetic testing. Gastroenterology. 120(1). 21–30. 126 indexed citations
18.
Lee, Maxwell P., Cynthia Reeves, Anna Schmitt, et al.. (1998). Somatic mutation of TSSC5, a novel imprinted gene from human chromosome 11p15.5.. PubMed. 58(18). 4155–9. 38 indexed citations
19.
Blesch, Armin, Anja‐Katrin Bosserhoff, Rainer Apfel, et al.. (1994). Cloning of a novel malignant melanoma-derived growth-regulatory protein, MIA. PubMed. 54(21). 5695–701. 142 indexed citations
20.
Schmitt, Anna, et al.. (1979). [Psychomotor development of children born operatively by Caesarian section, vacuum or forceps in the period between 3 and 7 years (author's transl)].. PubMed. 183(5). 375–83. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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